A modular tool to aggregate results from bioinformatics analyses across many samples into a single report.
/data/users/willetse0745/Planaria-Genome-Project/fastq_planaria/data/users/willetse0745/Planaria-Genome-Project/trimmed_fastq
General Statistics
| Sample Name | Median length | Mean length | Read N50 | Median Qual | Mean Qual | # Reads (K) | Total Bases (Mb) |
|---|---|---|---|---|---|---|---|
| NanoStats | 9585bp | 13166bp | 16392bp | 20.7 | 18.4 | 372.0K | 4898.0Mb |
NanoStat
Reports various statistics for long read dataset in FASTQ, BAM, or albacore sequencing summary format (supports NanoPack; NanoPlot, NanoComp).URL: https://github.com/wdecoster/nanostat; https://github.com/wdecoster/nanoplotDOI: 10.1093/bioinformatics/bty149
Programs are part of the NanoPack family for summarising results of sequencing on Oxford Nanopore methods (MinION, PromethION etc.)Summary Statistics (FASTQ)
| Sample Name | Median length | Mean length | Read N50 | Median Qual | Mean Qual | # Reads (K) | Total Bases (Mb) |
|---|---|---|---|---|---|---|---|
| NanoStats | 9585bp | 13166bp | 16392bp | 20.7 | 18.4 | 372.0K | 4898.0Mb |
Reads by quality
Read counts categorised by read quality (Phred score).
Sequencing machines assign each generated read a quality score using the Phred scale. The phred score represents the liklelyhood that a given read contains errors. High quality reads have a high score.